Result for 27E7287CEC85026A326FA120AC8DD960332AD640

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numba/core/runtime/nrt.h
FileSize5503
MD5E6E46A451E85FD2C96D637BB0FD2D2DD
SHA-127E7287CEC85026A326FA120AC8DD960332AD640
SHA-256A1CB5A680D9DB7140CFFD9E79077947B834A531AFD8BA57763B57C2FEB9B3907
SSDEEP96:vbwUR/nw85N6cr9EnjoFjvnj1+HzdnXFIKtz4l+IH+t6fI7t5NVvmqe979R4C:vbwUZnw8COGn8FjjsHxnXFIKi+S+t6fv
TLSHT10FB1AE63BD2CE2D2768CA198C36E005A03DBE8496712FC153BDF41441F47ADCA297BE9
hashlookup:parent-total37
hashlookup:trust100

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Parents (Total: 37)

The searched file hash is included in 37 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5106DA372AC7B4660DB5949F3A0A7CBD4
PackageArchx86_64
PackageDescriptionNumba is a NumPy-aware optimizing compiler for Python. It uses the LLVM compiler infrastructure to compile Python syntax to machine code. It is aware of NumPy arrays as typed memory regions and so can speed-up code using NumPy arrays. Other, less well-typed code will be translated to Python C-API calls, effectively removing the "interpreter", but not removing the dynamic indirection. Numba is also not a tracing JIT. It *compiles* your code before it gets run, either using run-time type information or type information you provide in the decorator. Numba is a mechanism for producing machine code from Python syntax and typed data structures such as those that exist in NumPy.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython3-numba
PackageReleasebp156.3.5
PackageVersion0.51.2
SHA-106436226CB42BA444A00149614CA79BA8515CBEA
SHA-256EBEBA588F8FFFB79AE2000DF00B071B68927E985F24523212A319D0D782C9A1D
Key Value
FileSize1514992
MD5B1285EA3CDBBF12F55FFB3096B8AD0D4
PackageDescriptionnative machine code compiler for Python 3 Numba compiles native machine code instructions from Python programs at runtime using the LLVM compiler infrastructure. It could be easily employed by decorating individual computation intensive functions in the Python code. Numba could significantly speed up the performance of computations, and optionally supports compilation to run on GPU processors through Nvidia's CUDA platform. It integrates well with the Python scientific software stack, and especially recognizes Numpy arrays. . This package contains the modules for Python 3.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython3-numba
PackageSectionpython
PackageVersion0.52.0-4
SHA-108F898DE47538FFC7B8D77EAA605E24A9C9D6A20
SHA-256E8E4700868F11496000B64F613716A43D0FAEF07C6C2F6845CA0DD4AD4E69722
Key Value
FileSize1518892
MD500BB154353C3A44456E7C37357DC0CF6
PackageDescriptionnative machine code compiler for Python 3 Numba compiles native machine code instructions from Python programs at runtime using the LLVM compiler infrastructure. It could be easily employed by decorating individual computation intensive functions in the Python code. Numba could significantly speed up the performance of computations, and optionally supports compilation to run on GPU processors through Nvidia's CUDA platform. It integrates well with the Python scientific software stack, and especially recognizes Numpy arrays. . This package contains the modules for Python 3.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython3-numba
PackageSectionpython
PackageVersion0.52.0-4
SHA-10E1B56774FA5E83D6319316258C88D07091A65F4
SHA-2562896127B26DB22BD361AB9A88E8F1C06E83D0CD3701EA75872DC17EA196F684D
Key Value
MD5720F678D08A5A9F721DB133C8CAEF61D
PackageArchi586
PackageDescriptionThis package provides debug sources for package python-numba. Debug sources are useful when developing applications that use this package or when debugging this package.
PackageMaintainertmb <tmb>
PackageNamepython-numba-debugsource
PackageRelease1.mga8
PackageVersion0.52.0
SHA-11135FC81D92626F041FAA9E6637683121C298090
SHA-2565313E4ACCAC42A2AE0D1B741D05EE3840E8003BC1CAA7CE0DC48EF7981F493C3
Key Value
MD5F21C8DAF1610C9F92A31CB07801A08A6
PackageArchx86_64
PackageDescriptionThis package contains files for developing applications using numba.
PackageNamepython3-numba-devel
PackageRelease51.5
PackageVersion0.53.0
SHA-11258BA302108F7790F37BFF448062205F033B31E
SHA-256447DB247122CB14426A79F04281B018CCA463752108DF9C2070D5B1335A422F8
Key Value
MD52B336D729458BD475DD8AFEC0D414070
PackageArchx86_64
PackageDescriptionNumba is a NumPy-aware optimizing compiler for Python. It uses the LLVM compiler infrastructure to compile Python syntax to machine code. It is aware of NumPy arrays as typed memory regions and so can speed-up code using NumPy arrays. Other, less well-typed code will be translated to Python C-API calls, effectively removing the "interpreter", but not removing the dynamic indirection. Numba is also not a tracing JIT. It *compiles* your code before it gets run, either using run-time type information or type information you provide in the decorator. Numba is a mechanism for producing machine code from Python syntax and typed data structures such as those that exist in NumPy.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython3-numba
PackageReleasebp154.1.67
PackageVersion0.51.2
SHA-112DCFC7A140F1AAC5D63DA7C13CAD074AD62B6F5
SHA-2562858190886CE9A2F94C029058CC1AD7905734BFC3B6F751DB7D55EAF075EADF6
Key Value
MD5325F3490BB5CECD5333EC821EDADAF91
PackageArcharmv7hl
PackageDescriptionNumba is a NumPy-aware optimizing compiler for Python. It uses the LLVM compiler infrastructure to compile Python syntax to machine code.
PackageMaintainertmb <tmb>
PackageNamepython3-numba
PackageRelease1.mga8
PackageVersion0.52.0
SHA-117BB7FA2B3BA68DB92A6B0F8E95C2E4D76D56817
SHA-256DE90D3E08A98050FBA23D4A59D3896495C43C1A533184F5E0F932ADA3461960B
Key Value
FileSize1502420
MD5506A38845B05B88B72C41FD3FE3DF053
PackageDescriptionnative machine code compiler for Python 3 Numba compiles native machine code instructions from Python programs at runtime using the LLVM compiler infrastructure. It could be easily employed by decorating individual computation intensive functions in the Python code. Numba could significantly speed up the performance of computations, and optionally supports compilation to run on GPU processors through Nvidia's CUDA platform. It integrates well with the Python scientific software stack, and especially recognizes Numpy arrays. . This package contains the modules for Python 3.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython3-numba
PackageSectionpython
PackageVersion0.52.0-4
SHA-1181B729A4536B0B3000AD410D60110E415C4067F
SHA-256E2BFBFC0BBC939A6EC3CAD13FB918F291CA16596436F70D8E88AB654186E076C
Key Value
MD53DEA3721386AEB2852D23D1BB33A3FF4
PackageArchx86_64
PackageDescriptionThis package contains files for developing applications using numba.
PackageNamepython3-numba-devel
PackageRelease51.3
PackageVersion0.53.0
SHA-11A59C3F18B013ABCBC903DD90530EF28C2A8F167
SHA-2563F8851B23E54B7BE6537BB9B44E501DF5904AA9112B0B83C7D7A0BE915D929D6
Key Value
MD5B39D1732EAC8A099D189819F326DAB93
PackageArchx86_64
PackageDescriptionThis package contains files for developing applications using numba.
PackageNamepython3-numba-devel
PackageReleaselp153.2.5
PackageVersion0.53.0
SHA-122872F9E6BF1CD1D72F59FB61A8671460130DE15
SHA-2562A697DF6951E529E08554EE2A00BF719375DA3AF1CA8CBBE7BDF711B10CFB4B8